Dimension Reduction for Symbolic Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Kahlmeyer, Paul, Fischer, Markus, Giesen, Joachim |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Discovering Symmetries of ODEs by Symbolic Regression
by: Kahlmeyer, Paul, et al.
Published: (2025)
by: Kahlmeyer, Paul, et al.
Published: (2025)
Scaling Up Unbiased Search-based Symbolic Regression
by: Kahlmeyer, Paul, et al.
Published: (2025)
by: Kahlmeyer, Paul, et al.
Published: (2025)
Analyzing Generalization in Pre-Trained Symbolic Regression
by: Voigt, Henrik, et al.
Published: (2025)
by: Voigt, Henrik, et al.
Published: (2025)
Beyond the Training Distribution: Mapping Generalization Boundaries in Neural Program Synthesis
by: Voigt, Henrik, et al.
Published: (2026)
by: Voigt, Henrik, et al.
Published: (2026)
SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration
by: Naser, MZ, et al.
Published: (2024)
by: Naser, MZ, et al.
Published: (2024)
Diffusion-Based Symbolic Regression
by: Bastiani, Zachary, et al.
Published: (2025)
by: Bastiani, Zachary, et al.
Published: (2025)
Decomposable Neuro Symbolic Regression
by: Morales, Giorgio, et al.
Published: (2025)
by: Morales, Giorgio, et al.
Published: (2025)
Fast Symbolic Regression Benchmarking
by: Martinek, Viktor
Published: (2025)
by: Martinek, Viktor
Published: (2025)
Shape Constraints in Symbolic Regression using Penalized Least Squares
by: Martinek, Viktor, et al.
Published: (2024)
by: Martinek, Viktor, et al.
Published: (2024)
Towards Scaling Laws for Symbolic Regression
by: Otte, David, et al.
Published: (2025)
by: Otte, David, et al.
Published: (2025)
Equality Graph Assisted Symbolic Regression
by: de Franca, Fabricio Olivetti, et al.
Published: (2025)
by: de Franca, Fabricio Olivetti, et al.
Published: (2025)
Bayesian Symbolic Regression for Missing Physics
by: Strouwen, Arno
Published: (2026)
by: Strouwen, Arno
Published: (2026)
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression
by: Saegert, Paul, et al.
Published: (2026)
by: Saegert, Paul, et al.
Published: (2026)
Bayesian Symbolic Regression via Posterior Sampling
by: Bomarito, Geoffrey F., et al.
Published: (2025)
by: Bomarito, Geoffrey F., et al.
Published: (2025)
Symbolic Regression via Latent Iterative Refinement
by: Chu, Xieting, et al.
Published: (2026)
by: Chu, Xieting, et al.
Published: (2026)
Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks
by: Shmuel, Assaf, et al.
Published: (2023)
by: Shmuel, Assaf, et al.
Published: (2023)
TrIM: Transformed Iterative Mondrian Forests for Gradient-based Dimension Reduction and High-Dimensional Regression
by: Baptista, Ricardo, et al.
Published: (2024)
by: Baptista, Ricardo, et al.
Published: (2024)
Improving Genetic Programming for Symbolic Regression with Equality Graphs
by: de Franca, Fabricio Olivetti, et al.
Published: (2025)
by: de Franca, Fabricio Olivetti, et al.
Published: (2025)
Improving Monte Carlo Tree Search for Symbolic Regression
by: Huang, Zhengyao, et al.
Published: (2025)
by: Huang, Zhengyao, et al.
Published: (2025)
Scalable Neural Symbolic Regression using Control Variables
by: Chu, Xieting, et al.
Published: (2023)
by: Chu, Xieting, et al.
Published: (2023)
Structural Dimension Reduction in Bayesian Networks
by: Heng, Pei, et al.
Published: (2026)
by: Heng, Pei, et al.
Published: (2026)
Dimension Reduction with Locally Adjusted Graphs
by: Wang, Yingfan, et al.
Published: (2024)
by: Wang, Yingfan, et al.
Published: (2024)
The Syntax and Semantics of einsum
by: Wenig, Maurice, et al.
Published: (2025)
by: Wenig, Maurice, et al.
Published: (2025)
ISR: Invertible Symbolic Regression
by: Tohme, Tony, et al.
Published: (2024)
by: Tohme, Tony, et al.
Published: (2024)
Multi-View Symbolic Regression
by: Russeil, Etienne, et al.
Published: (2024)
by: Russeil, Etienne, et al.
Published: (2024)
Exhaustive Symbolic Regression
by: Bartlett, Deaglan J., et al.
Published: (2022)
by: Bartlett, Deaglan J., et al.
Published: (2022)
Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors
by: Huang, Sikai, et al.
Published: (2025)
by: Huang, Sikai, et al.
Published: (2025)
Deep Variational Inference Symbolic Regression
by: Butterworth, James, et al.
Published: (2026)
by: Butterworth, James, et al.
Published: (2026)
Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning
by: Sun, Chenglu, et al.
Published: (2025)
by: Sun, Chenglu, et al.
Published: (2025)
A Transformer Model for Symbolic Regression towards Scientific Discovery
by: Lalande, Florian, et al.
Published: (2023)
by: Lalande, Florian, et al.
Published: (2023)
A Comparative Study of Model Selection Criteria for Symbolic Regression
by: Soltani, Ali, et al.
Published: (2026)
by: Soltani, Ali, et al.
Published: (2026)
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis
by: Xie, Yi, et al.
Published: (2024)
by: Xie, Yi, et al.
Published: (2024)
Symbolic Regression for Shared Expressions: Introducing Partial Parameter Sharing
by: Martinek, Viktor, et al.
Published: (2026)
by: Martinek, Viktor, et al.
Published: (2026)
Error Reduction from Stacked Regressions
by: Chen, Xin, et al.
Published: (2023)
by: Chen, Xin, et al.
Published: (2023)
Riemannian Stochastic Optimization for Sufficient Dimension Reduction
by: Pautrel, Thibault, et al.
Published: (2026)
by: Pautrel, Thibault, et al.
Published: (2026)
Neural Networks Perform Sufficient Dimension Reduction
by: Xu, Shuntuo, et al.
Published: (2024)
by: Xu, Shuntuo, et al.
Published: (2024)
Dimension Reduction with Prior Information for Knowledge Discovery
by: Bui, Anh Tuan
Published: (2021)
by: Bui, Anh Tuan
Published: (2021)
Operator Feature Neural Network for Symbolic Regression
by: Deng, Yusong, et al.
Published: (2024)
by: Deng, Yusong, et al.
Published: (2024)
Neural Symbolic Regression of Complex Network Dynamics
by: Qiu, Haiquan, et al.
Published: (2024)
by: Qiu, Haiquan, et al.
Published: (2024)
Interpretable Robotic Friction Learning via Symbolic Regression
by: Scholl, Philipp, et al.
Published: (2025)
by: Scholl, Philipp, et al.
Published: (2025)
Similar Items
-
Discovering Symmetries of ODEs by Symbolic Regression
by: Kahlmeyer, Paul, et al.
Published: (2025) -
Scaling Up Unbiased Search-based Symbolic Regression
by: Kahlmeyer, Paul, et al.
Published: (2025) -
Analyzing Generalization in Pre-Trained Symbolic Regression
by: Voigt, Henrik, et al.
Published: (2025) -
Beyond the Training Distribution: Mapping Generalization Boundaries in Neural Program Synthesis
by: Voigt, Henrik, et al.
Published: (2026) -
SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration
by: Naser, MZ, et al.
Published: (2024)